The present study aims at investigating The Effect of Slip-writing teaching technique on the performance of university EFL Students in essay writing. Quasi experimental design with a non –randomized ...control group, pretest-posttest is adopted. The sample of the present study includes (87) male and female college students selected from 3rd year university students of ThiQar university ,College of Education for Human Sciences, Department of English Language.Face validity and reliability coefficient of the pretest/posttest have been computed.Two independent sample t-test formulas have been used. Final results reveal thatthere is statistically significance difference between the two groups. This means that the experimental group students have proved to be better in their essay writing because they were taught by using the slip-writing technique..Finally, suitable conclusions and recommendations are put forward.
EDITORIAL: Reproducibility McNutt, Marcia
Science (American Association for the Advancement of Science),
01/2014, Letnik:
343, Številka:
6168
Journal Article
Recent advances in localization techniques have fundamentally enhanced social networking services, allowing users to share their locations and location-related contents, such as geo-tagged photos and ...notes. We refer to these social networks as location-based social networks (LBSNs). Location data bridges the gap between the physical and digital worlds and enables a deeper understanding of users’ preferences and behavior. This addition of vast geo-spatial datasets has stimulated research into novel recommender systems that seek to facilitate users’ travels and social interactions. In this paper, we offer a systematic review of this research, summarizing the contributions of individual efforts and exploring their relations. We discuss the new properties and challenges that location brings to recommender systems for LBSNs. We present a comprehensive survey analyzing 1) the data source used, 2) the methodology employed to generate a recommendation, and 3) the objective of the recommendation. We propose three taxonomies that partition the recommender systems according to the properties listed above. First, we categorize the recommender systems by the objective of the recommendation, which can include locations, users, activities, or social media. Second, we categorize the recommender systems by the methodologies employed, including content-based, link analysis-based, and collaborative filtering-based methodologies. Third, we categorize the systems by the data sources used, including user profiles, user online histories, and user location histories. For each category, we summarize the goals and contributions of each system and highlight the representative research effort. Further, we provide comparative analysis of the recommender systems within each category. Finally, we discuss the available data-sets and the popular methods used to evaluate the performance of recommender systems. Finally, we point out promising research topics for future work. This article presents a panorama of the recommender systems in location-based social networks with a balanced depth, facilitating research into this important research theme.
Early identification and intervention in patients with cutaneous squamous cell carcinoma (cSCC) who are at high risk for metastasis is important for optimal outcomes. Prognostic tools (e.g., American ...Joint Committee on Cancer, 8th edition AJCC-8) and management guidelines (National Comprehensive Cancer Network® NCCN) are useful in helping to identify high-risk patients with cSCC who might benefit from adjuvant therapies, such as radiation and/or immunotherapies; however, traditional staging and management guidelines rely on clinicopathologic risk factors to predict risk, which limits their prognostic accuracy. Gene expression profiling (GEP) is a clinically available, objective metric that can be used in conjunction with traditional clinicopathological staging to help clinicians stratify risk in patients with cSCC. The validated 40-GEP test can accurately classify patients with at least one high-risk feature as being at low (Class 1), higher (Class 2A), or highest (Class 2B) biological risk of nodal or distant metastasis within three years of diagnosis. A multidisciplinary panel comprising radiation oncologists and dermatologists/Mohs micrographic surgeons with expertise in cSCC management convened in June 2023 to discuss the utility of 40-GEP testing in cSCC clinical decision-making in regard to adjuvant radiation therapy (ART). The panel identified gaps in clinical practice in which 40-GEP testing has particular utility: in escalation of care for lower-stage patients with high-risk tumors; in de-escalation of care for patients for whom the risks of ART may outweigh the benefits; and in decision-making regarding elective radiation to the nodal basin. The expert panel developed a risk-based clinical workflow for ART in patients with cSCC, utilizing 40-GEP testing within NCCN management guidelines and AJCC-8 staging.
The implementation of guideline-directed medical therapy (GDMT) in heart failure (HF) has many challenges in real-world clinical practice. The consensus document is written considering the ...variability of the clinical presentation of HF patients. HF medical therapies need frequent dose adjustment during hospital admission or when patients develop electrolyte imbalance, acute kidney injury, and other acute illnesses. The paper describes clinical scenarios and graphs that will aid the managing physicians in decision-making for HF therapy optimization.The implementation of guideline-directed medical therapy (GDMT) in heart failure (HF) has many challenges in real-world clinical practice. The consensus document is written considering the variability of the clinical presentation of HF patients. HF medical therapies need frequent dose adjustment during hospital admission or when patients develop electrolyte imbalance, acute kidney injury, and other acute illnesses. The paper describes clinical scenarios and graphs that will aid the managing physicians in decision-making for HF therapy optimization.
REHAB-C: Recommendations for Energy HABits Change Sardianos, Christos; Varlamis, Iraklis; Dimitrakopoulos, George ...
Future generation computer systems,
November 2020, 2020-11-00, Letnik:
112
Journal Article
Recenzirano
This paper introduces REHAB-C, a goal-based context-aware recommendation system that supports users in transforming their energy habits. A combination of smart sensors and actuators collects ...information about user actions and their context and evaluates the actions to be proposed. Based on user decisions, REHAB-C either triggers an energy saving action, postpones or cancels it and records user preferences. The recommendation system continuously evaluates the user context and action against a rule base along with user goals and prioritizes the recommended actions, also considering other user preferences. The prototype implementation of REHAB-C is evaluated on two real-world scenarios, in an office setup. The user actions and presence are recorded for four weeks, as well as the user behavior towards energy saving, and his preferences on the recommended actions. The analysis of recorded results shows that goal-based context-aware recommendations can help users to improve their energy efficiency and in the long term can automatically adapt to user habits and reduce their energy footprint.
•A technique for recommending energy-saving actions based on users’ habitual actions.•A recommendation system that helps establishing a more efficient energy profile.•An implemented user activity monitoring system that interacts with the appliances.•Action recommendations come at the right moment and promote energy-saving.
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